---
license: mit
datasets:
- kaitchup/ultrachat-100k-flattened
---

---
library_name: peft
---
## Training procedure

Finetuned on ultrachat-100k-flattened dataset for 1 epoch, took around 40 hrs on A100 80BG


The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: float16
### Framework versions


- PEFT 0.5.0

### Prompt
Use the following for prompting

prompt = "### Human: "+instruction+"### Assistant: "


#### merged following the gist https://gist.github.com/ChrisHayduk/1a53463331f52dca205e55982baf9930

#### Guidance from https://kaitchup.substack.com/


#### Work supported by https://datacrunch.io/